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    • 1. 发明申请
    • NETWORK-BASED CALCULATION OF AFFINITY SCORE FROM TRANSACTION DATA
    • US20230134999A1
    • 2023-05-04
    • US17915420
    • 2020-06-18
    • Visa Europe Limited
    • Hyeonmin NAPaul ROLLINGS
    • G06Q30/0201G06F17/16
    • Disclosed herein is a computer-implemented method for calculating an affinity score for an entity in one or more transactions of a plurality of transactions, each transaction involving the transfer of an asset from an associated sending entity to an associated receiving entity. The method comprises receiving data identifying a seed receiving entity, querying transaction data for the plurality of transactions to identify a set of sending entities based on each sending entity in the set of sending entities having been the sending entity in at least one transaction with the seed receiving entity, querying the transaction data to identify transactions having a ending entity in the set of sending entities, and determining a set of receiving entities based on the transactions having the sending entity in the set of sending entities. In this way, a set of sending entities and a set of receiving entities and associated transactions are identified. The method then proceeds by assigning the set of sending entities and the set of receiving entities as nodes in a network and transactions as links in the network, wherein a link corresponding to a transaction connects the sending entity for the transaction with the receiving entity for the transaction. An eigenvector centrality value calculation can then be performed for a node corresponding to a subject receiving entity of the set of receiving entities, and an affinity score determined for the subject receiving entity using the eigenvector centrality value, whereby the affinity score provides a measure of affinity between the subject receiving entity and the seed receiving entity.